Shifting to biology promotes highly efficient iron removal in groundwater filters

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
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Abstract

Rapid sand filters are established and widely applied technologies for groundwater treatment. In these filters, main groundwater contaminants such as iron, manganese, and ammonium are oxidized and removed. Conventionally, intensive aeration is employed to provide oxygen for these redox reactions. While effective, intensive aeration promotes flocculent iron removal, which results in iron oxide flocs that rapidly clog the filter. In this study, we operated two parallel full-scale sand filters at different aeration intensities to resolve the relative contribution of homogeneous, heterogeneous and biological iron removal pathways, and identify their operational controls. Our results show that mild aeration in the LOW filter (5 mg/L O2, pH 6.9) promoted biological iron removal and enabled iron oxidation at twice the rate compared to the intensively aerated HIGH filter (>10 mg/L O2, pH 7.4). Microscopy images showed distinctive twisted stalk-like iron solids, the biosignatures of Gallionella ferruginea, both in the LOW filter sand coatings as well as in its backwash solids. In accordance, 10 times higher DNA copy numbers of G. ferruginea were found in the LOW filter effluent. Clogging by biogenic iron solids was slower than by chemical iron flocs, resulting in lower backwash frequencies and yielding four times more water per run. Ultimately, our results reveal that biological iron oxidation can be actively controlled and favoured over competing physico-chemical routes. The production of more compact and practically valuable iron oxide solids is of outmost interest. We conclude that, although counterintuitive, slowing down iron oxidation in the water before filtration enables rapid iron removal in the biofilter.

Abstract Image

转向生物技术促进地下水过滤器高效除铁
快速砂滤器是一种成熟且应用广泛的地下水处理技术。在这些过滤器中,铁、锰和铵等主要地下水污染物被氧化并去除。传统的做法是采用强化曝气来为这些氧化还原反应提供氧气。强化曝气虽然有效,但会促进絮凝除铁,导致氧化铁絮体迅速堵塞过滤器。在这项研究中,我们在不同曝气强度下运行了两个平行的全尺寸砂滤器,以确定均相、异相和生物除铁途径的相对贡献,并确定它们的运行控制。结果表明,与强化曝气的高浓度过滤器(pH 值大于 10mg/L O,7.4)相比,低浓度过滤器(pH 值为 6.9,5mg/L O)的轻度曝气促进了生物除铁,使铁的氧化速度提高了一倍。显微镜图像显示,在 LOW 过滤器的砂涂层及其反冲洗固体中,都有明显的扭曲的茎状铁固体,这是生物除铁的特征。与此相对应,在 LOW 过滤器流出物中发现的 DNA 拷贝数高出 10 倍。生物铁固体的堵塞速度比化学铁絮慢,因此反冲洗频率较低,每次运行产生的水量是化学铁絮的四倍。最终,我们的研究结果表明,生物铁氧化可以被积极控制,并优于其他物理化学方法。生产结构更紧凑、更有实用价值的氧化铁固体是最令人感兴趣的。我们得出的结论是,尽管与直觉相反,但在过滤前减缓水中的铁氧化,可使生物滤池快速除铁。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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